Income inequality, innovation and carbon emission: Perspectives on sustainable growth

Mushtaq, Anila; Chen, Zongsheng; Din, Nizam Ud; Ahmad, Bashir; Zhang, Xiaolu

doi:10.1080/1331677x.2020.1734855

Cited by 52 publications

(24 citation statements)

References 62 publications

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“…This result is consistent with the previous ndings for India (Dar & Asif, 2017); Pakistan (Chandia, Gul, Aziz, Sarwar, & Zul qar, 2018;Ur Rahman et al, 2019); China (Manzoor Mushtaq et al, 2020;Wei, 2020;Zhou et al, 2018); the US (Alola & Alola, 2019); Liberia (Moutinho et al, 2020); Qatar (Mrabet, AlSamara, & Hezam Jarallah, 2017); selected 72 countries (Inekwe, Maharaj, & Bhattacharya, 2019); developing countries (Wawrzyniak & Doryń, 2020); NAFTA and BRIC (Rahman et al, 2019); SEE countries (Obradović & Lojanica, 2017); and Asian economies (Qingquan et al, 2020). (Kasman & Duman, 2015).…”

Section: Resultssupporting

confidence: 92%

“…This relationship is commonly referred to as the EKC hypothesis. Several researchers have validated the EKC hypothesis for different economies, including but not limited to, Iberia (Moutinho, Madaleno, & Bento, 2020); China (Jiang, Yang, & Ma, 2019;Mushtaq, Chen, Din, Ahmad, & Zhang, 2020;Zhou et al, 2018); India (Dar & Asif, 2017); Pakistan (Ur Rahman, Chongbo, & Ahmad, 2019); USA (Alola & Alola, 2019);Brazil (Ben Jebli & Ben Youssef, 2019); emerging economies (Wawrzyniak & Doryń, 2020); NAFTA and BRIC (Rahman, Cai, Khattak, & Hasan, 2019); Ukraine (Melnyk, Kubatko, & Kubatko, 2016); SEE economies (Obradović & Lojanica, 2017); developed and developing economies (Anser et al, 2020);and OECD (Manzoor Ahmad, Khan, Rahman, Khattak, & Khan, 2019).…”

Section: The Relationship Between Income and Co 2 Ementioning

confidence: 99%

See 1 more Smart Citation

Do Higher Education Research and Development Expenditures affect Environmental Sustainability? New Evidence from Thirty-One Chinese Provinces

Sun

Jiang

Khattak

et al. 2021

Preprint

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Higher education R&D expenditures (HEEXP) are one of the important determinants of economic growth that facilitates science, technology, new ideas, and innovation, but its effect on environmental sustainability remains unexplored. This paper examines the nexus between HEEXP and carbon dioxide emissions (CO2e), followed by control variables such as electricity consumption, foreign direct investment, gross domestic product, and total population for the period 2000Q1-2019Q4. Some of the key results are as follows. First, the present findings confirmed the long-run cointegration among variables. Second, the finding showed significant long-term negative nexus between HEEXP and CO2e. Third, the findings indicated that electricity consumption, foreign direct investment, gross domestic product, and total population are the important factors that intensify the overall situation of CO2e. Fourth, the results indicated that there exist a bi-directional causality between EC and CO2e; FDI and CO2e; GDP and CO2e; POP and CO2e and HEEXP, and CO2e.

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Section: Resultssupporting

confidence: 92%

Section: The Relationship Between Income and Co 2 Ementioning

confidence: 99%

Do Higher Education Research and Development Expenditures affect Environmental Sustainability? New Evidence from Thirty-One Chinese Provinces

Sun

Jiang

Khattak

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…Likewise, the estimated coefficient of urban population is significant and negative in the first two models and insignificant in the third model. (Mushtaq, Chen, Ud Din, Ahmad, & Zhang, 2020) also found that urban population decrease carbon emission in china.…”

Section: Resultsmentioning

confidence: 88%

Institutions Powers, financial development and environmental factors influence on Carbon emission: Evidence from a Global Perspective

Khan

Weili

Khan

2021

Preprint

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This study explores the moderating power of institutional quality on carbon emission through renewable energy consumption, foreign direct investment, economic growth and financial development in the globe for the period of 2002 to 2019. By using two Step System Generalized Method of Moments, the results illustrate that renewable energy usage and foreign direct investment inflow enhance environmental quality while financial development and economic growth lowers environmental quality in the panel. The results shows that quality institutions in countries are still not yet adequate to defend the harmful impact of every environmental factor and protect environment however, the interaction term of institutional quality confirms the significant moderating effect of all explanatory variables on environmental quality in the panel. The findings also confirm the existence of Environmental Kuznets Curve and evidence the pollution halo hypothesis. The findings of this paper can be useful for policy makers whereas conducting stricter environmental regulation.

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“…The empirical estimates ofKasuga & Takaya (2017) reveal a positive and statistically significant impact of inequality (90 th /10 th ) on SO2, NOX, and SPM for Japanese cities in the residential and commercial areas. Based on the provincial panel data of China,Hao et al (2016) emphasize the importance of regional differences in analyzing the link between income inequality and carbon emissions Mushtaq et al (2020). confirm the regional difference in China for the larger time-period by using alternative estimators and emphasizing the moderating role of innovation.…”

mentioning

confidence: 88%

The Impact of Income Inequality on Environmental Quality: A Sectoral-Level Analysis

Alataş

Akin

2021

Preprint

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There is a growing literature on the relationship between income inequality and emissions. However, these studies ignore the sectoral level differences in carbon emissions. We argue that the environmental effect of inequality might vary at the sectoral level. Our main purpose is to contribute to this growing literature on the inequality-emissions nexus by considering sectoral-level differences. For that purpose, we focus on five different sectors: power industry, buildings, transport, other industrial combustion, and other sectors. To specify our model, we augment the environmental Kuznets curve framework with income inequality by controlling the effect of globalization and urbanization. Our country sample consists of 28 OECD economies for the period between 1990 and 2018. Methodologically, we apply the second-generation panel unit root, cointegration tests, and estimators, which produce robust results against the cross-sectional dependence. Our findings reveal that not only income but also income inequality is a crucial factor in explaining changes in sectoral emissions. While rising income inequality increases carbon emissions from the power and building sectors, this finding turns out to be negative for the transport, other industrial combustion, and other sectors. Our results suggest that policies aimed at reducing carbon emissions should be designed at the sectoral level.

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Income inequality, innovation and carbon emission: Perspectives on sustainable growth

Cited by 52 publications

References 62 publications

Do Higher Education Research and Development Expenditures affect Environmental Sustainability? New Evidence from Thirty-One Chinese Provinces

Do Higher Education Research and Development Expenditures affect Environmental Sustainability? New Evidence from Thirty-One Chinese Provinces

Institutions Powers, financial development and environmental factors influence on Carbon emission: Evidence from a Global Perspective

The Impact of Income Inequality on Environmental Quality: A Sectoral-Level Analysis

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